In the case of discrete pseudo-labels, the output probability maps from the teacher network is further processed in a similar fashion to the semi-supervised method [1]}. Initially the confident positive pixels are labeled, then a geometric distance transform is computed to label the most confident negative pixels as shown in Algorithm REF .
